[HTML][HTML] Bi-level Graph Learning Unveils Prognosis-Relevant Tumor Microenvironment Patterns from Breast Multiplexed Digital Pathology
The tumor microenvironment is widely recognized for its central role in driving cancer
progression and influencing prognostic outcomes. Despite extensive research efforts …
progression and influencing prognostic outcomes. Despite extensive research efforts …
LASSO–MOGAT: a multi-omics graph attention framework for cancer classification
F Alharbi, A Vakanski, MK Elbashir… - Academia Biology, 2024 - academia.edu
The application of machine learning (ML) methods to analyze changes in gene expression
patterns has recently emerged as a powerful approach in cancer research, enhancing our …
patterns has recently emerged as a powerful approach in cancer research, enhancing our …